Machine Learning Methods for One-Session Ahead Prediction of Accesses to Page Categories. - José David Martín-Guerrero; Emili Balaguer-Ballester; Gustavo Camps-Valls; Alberto Palomares; Antonio J. Serrano-López; Juan Gómez-Sanchís; Emilio Soria-Olivas (AH, 2004)

Studying the feasibility of a recommender in a citizen web portal based on user modeling and clustering algorithms. - José David Martín-Guerrero; Alberto Palomares; Emili Balaguer-Ballester; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio Soriano-Asensi (Expert Syst. Appl., 2006)

Development of a Computer Vision System for the Automatic Quality Grading of Mandarin Segments. - José Blasco; Sergio Cubero; Raúl Arias; Juan Gómez-Sanchís; Florentino Juste; Enrique Moltó (IbPRIA (2), 2007)

Use of Reinforcement Learning in Two Real Applications. - José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (EWRL, 2008)

Segmentation of Hyperspectral Images for the Detection of Rotten Mandarins. - Juan Gómez-Sanchís; Gustavo Camps-Valls; Enrique Moltó; Luis Gómez-Chova; Nuria Aleixos; José Blasco (ICIAR, 2008)

Sectors on sectors (SonS): A new hierarchical clustering visualization tool. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Marcelino Martínez-Sober; Juan Gómez-Sanchís (CIDM, 2011)

Modelling net radiation at surface using "in situ" netpyrradiometer measurements with artificial neural networks. - Antonio Geraldo-Ferreira; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio J. Serrano-López; Almudena Velázquez-Blazquez; Ernesto López-Baeza (Expert Syst. Appl., 2011)

Regularized extreme learning machine for regression problems. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; José Rafael Magdalena Benedicto; Juan Gómez-Sanchís (Neurocomputing, 2011)

BELM: Bayesian Extreme Learning Machine. - Emilio Soria-Olivas; Juan Gómez-Sanchís; José David Martín-Guerrero; Joan Vila-Francés; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; Antonio J. Serrano (IEEE Trans. Neural Networks, 2011)

extended visualization method for classification trees. - José María Martínez-Martínez; Pablo Escandell-Montero; Emilio Soria-Olivas; José David Martín-Guerrero; Juan Gómez-Sanchís; Joan Vila-Francés (ESANN, 2012)

MATLAB-based educational software for exploratory data analysis (EDA toolkit). - Juan José Carrasco Fernández; Emilio Soria-Olivas; Juan Gómez-Sanchís; Antonio José Serrano; Antonio Soriano-Asensi; Juan-Francisco Guerrero-Martínez (Comput. Appl. Eng. Educ., 2012)

Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques. - Juan Gómez-Sanchís; José David Martín-Guerrero; Emilio Soria-Olivas; Marcelino Martínez-Sober; José Rafael Magdalena Benedicto; José Blasco (Expert Syst. Appl., 2012)

Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. - José David Martín-Guerrero; Daniele Marcelli; Emilio Soria-Olivas; Flavio Mari; José María Martínez-Martínez; Isabel Soley Bech; Marcelino Martínez-Sober; Laura Scatizzi; Juan Gómez-Sanchís; Andrea Stopper; Antonio J. Serrano-López; Emanuele Gatti (Expert Syst. Appl., 2012)

Least-squares temporal difference learning based on extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (ESANN, 2013)

Sparse Manifold Clustering and Embedding to discriminate gene expression profiles of glioblastoma and meningioma tumors. - Juan Miguel García-Gómez; Juan Gómez-Sanchís; Pablo Escandell-Montero; Elies Fuster-García; Emilio Soria-Olivas (Comput. Biol. Medicine, 2013)

Expert system for predicting unstable angina based on Bayesian networks. - Joan Vila-Francés; Juan Gómez-Sanchís; Emilio Soria-Olivas; Antonio José Serrano; Marcelino Martínez-Sober; Clara Bonanad; Silvia Ventura (Expert Syst. Appl., 2013)

Optimization of anemia treatment in hemodialysis patients via reinforcement learning. - Pablo Escandell-Montero; Milena Chermisi; José María Martínez-Martínez; Juan Gómez-Sanchís; Carlo Barbieri; Emilio Soria-Olivas; Flavio Mari; Joan Vila-Francés; Andrea Stopper; Emanuele Gatti; José David Martín-Guerrero (Artif. Intell. Medicine, 2014)

Least-squares temporal difference learning based on an extreme learning machine. - Pablo Escandell-Montero; José María Martínez-Martínez; José David Martín-Guerrero; Emilio Soria-Olivas; Juan Gómez-Sanchís (Neurocomputing, 2014)

Multi-step strategy for mortality assessment in cardiovascular risk patients with imbalanced data. - Fernando Mateo; Emilio Soria-Olivas; Marcelino Martínez-Sober; Maria Tellez-Plaza; Juan Gómez-Sanchís; Josep Redon (ESANN, 2016)

Tweet Sentiment Visualization and Classification Using Manifold Dimensionality Reduction. - Francisco Grimaldo 001; Emilia López-Iñesta; Juan José Garcés-Iniesta; Juan Gómez-Sanchís; Daniel García-Costa; Eusebio Marqués-Benítez; Emilio Soria-Olivas (CCIA, 2018)

Analysis of computer user behavior, security incidents and fraud using Self-Organizing Maps. - Alberto Urueña-López; Fernando Mateo; Julio Navío-Marco; José María Martínez-Martínez; Juan Gómez-Sanchís; Joan Vila-Francés; Antonio José Serrano-López (Comput. Secur., 2019)

End-to-end Keyword Spotting using Xception-1d. - Iván Vallés-Pérez; Juan Gómez-Sanchís; Marcelino Martínez-Sober; Joan Vila-Francés; Antonio José Serrano-López; Emilio Soria-Olivas (ESANN, 2021)

Application of deep convolutional neural networks for the detection of anthracnose in olives using VIS/NIR hyperspectral images. - Antonio Fazari; Oscar J. Pellicer-Valero; Juan Gómez-Sanchís; Bruno Bernardi; Sergio Cubero; Souraya Benalia; Giuseppe Zimbalatti; José Blasco (Comput. Electron. Agric., 2021)

Automatic mass spectra recognition for Ultra High Vacuum systems using multilabel classification. - Fernando Mateo; Juan José Garcés-Iniesta; Berthold Jenninger; Juan Gómez-Sanchís; Emilio Soria-Olivas; Paolo Chiggiato (Expert Syst. Appl., 2021)

Approaching sales forecasting using recurrent neural networks and transformers. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Juan Gómez-Sanchís; Fernando Mateo (Expert Syst. Appl., 2022)

Empirical study of the modulus as activation function in computer vision applications. - Iván Vallés-Pérez; Emilio Soria-Olivas; Marcelino Martínez-Sober; Antonio J. Serrano-López; Joan Vila-Francés; Juan Gómez-Sanchís (Eng. Appl. Artif. Intell., 2023)

Dynamic classifier auditing by unsupervised anomaly detection methods: an application in packaging industry predictive maintenance. - Fernando Mateo; Joan Vila-Francés; Emilio Soria-Olivas; Marcelino Martínez-Sober; Juan Gómez-Sanchís; Antonio José Serrano-López (CoRR, 2024)

Artificial Neural Networks in Agriculture, the core of artificial intelligence: What, When, and Why. - Salvador Castillo-Girones; Sandra Munera; Marcelino Martínez-Sober; José Blasco; Sergio Cubero; Juan Gómez-Sanchís (Comput. Electron. Agric., 2025)